huggingface-hub

Manage Hugging Face Hub models and datasets via CLI.

Updated Apr 29, 2026
One-click install
npx skills add https://github.com/DifanaDAP/hermes-backup --skill huggingface-hub-difanadap
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: huggingface-hub
Source: https://github.com/DifanaDAP/hermes-backup/tree/main/workspace/skills/mlops/huggingface-hub
Command: npx skills add https://github.com/DifanaDAP/hermes-backup --skill huggingface-hub-difanadap

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires hf, and includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill simplifies the process of managing Hugging Face Hub models and datasets, allowing users to search, download, upload, and organize resources efficiently.

Core Features & Use Cases

  • Model and Dataset Management: Search, download, upload, and organize models and datasets from the Hugging Face Hub.
  • Authentication: Manage sessions using tokens and environment variables.
  • Repository Management: Create, delete, duplicate, move, and manage repositories.
  • Use Case: Quickly download a specific model or dataset from the Hub for use in your projects.

Quick Start

Install the Hugging Face CLI with curl -LsSf https://hf.co/cli/install.sh | bash -s and use hf download REPO_ID to download a model.

Frequently Asked Questions about huggingface-hub

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I download Hugging Face Hub models and datasets for my projects?

Yes, you can manage Hugging Face Hub repositories by creating, deleting, duplicating, and moving them. This functionality allows you to organize models and datasets efficiently within your Python environment.

How do I authenticate to the Hugging Face Hub using Python?

You can authenticate to the Hugging Face Hub by managing sessions with authentication tokens and environment variables, ensuring secure access to upload, download, and organize your models and datasets.

Do I need the Hugging Face CLI to search and manage Hub repositories?

Yes, managing Hugging Face Hub repositories requires the Hugging Face CLI and a Python environment. You can install the CLI using the provided curl command to enable searching and downloading resources.

What is the best way to organize Hugging Face models and datasets?

The best way to organize Hugging Face models and datasets is by using repository management features to create, move, and duplicate repositories, simplifying resource organization for your projects.